Running
on
Zero
125
π
Indic Parler-TTS
A demo of Indic Parler-TTS
mantra patel PRO
mantrakp
AI & ML interests
None yet
Recent Activity
liked
a Space
14 days ago
ai4bharat/indic-parler-tts
liked
a Space
19 days ago
huggingface/open-source-ai-year-in-review-2024
liked
a model
19 days ago
ai4bharat/indic-parler-tts
Organizations
mantrakp's activity
liked
a
Space
14 days ago
liked
a
Space
19 days ago
liked
a
model
19 days ago
liked
a
Space
22 days ago
liked
a
Space
29 days ago
liked
a
model
29 days ago
liked
a
model
about 1 month ago
liked
a
Space
about 1 month ago
replied to
alielfilali01's
post
about 1 month ago
its really good at planning however it does have a very short context window due to large portion of the context window used during thinking process. That is probably what's holding the output quality back. To tackle this i generally start with o1 preview for the base approach and a draft, use o1 to add/remove stuff you don't need don't exceed 1 chat, keep on editing it, annoying but ik we don't rlly have a huge context window). Continue with 4o/claude from that point onwards
reacted to
singhsidhukuldeep's
post with π
about 1 month ago
Post
2279
Thinking about upgrading from Python 3.10 to 3.11? Here's why you should make the move - a deep technical breakdown that might convince you:
>> Performance Revolution
The performance improvements are staggering, with benchmarks showing 10-60% faster execution across different workloads. Let me break down the game-changing features:
>> Core Architecture Changes
Python 3.11's interpreter now uses statically allocated core modules, eliminating the multi-step loading process we've dealt with in 3.10. This means your applications will start 10-15% faster out of the gate.
>> Function Optimization
The redesigned frame objects are a thing of beauty - they've been stripped of unnecessary baggage, resulting in a 3-7% speedup for all function calls. But it gets better: function calls are now inlined, giving us a 1-3% boost, with recursive functions like Fibonacci seeing up to 1.7x improvement!
>> Adaptive Intelligence
The new Specializing Interpreter is perhaps the most exciting addition. Think of it as a lightweight JIT - it identifies hot code paths and optimizes them automatically.
The interpreter now automatically specializes math operations, array indexing, and even sequence unpacking based on actual usage patterns.
>> Exception Handling Revolution
My favorite feature? Zero-cost exceptions! Your try-except blocks no longer carry overhead when no exceptions occur. The code runs at full speed until an exception actually happens.
Ready to make the switch? These improvements aren't just numbers - they're real-world performance gains waiting to be unlocked in your codebase.
>> Performance Revolution
The performance improvements are staggering, with benchmarks showing 10-60% faster execution across different workloads. Let me break down the game-changing features:
>> Core Architecture Changes
Python 3.11's interpreter now uses statically allocated core modules, eliminating the multi-step loading process we've dealt with in 3.10. This means your applications will start 10-15% faster out of the gate.
>> Function Optimization
The redesigned frame objects are a thing of beauty - they've been stripped of unnecessary baggage, resulting in a 3-7% speedup for all function calls. But it gets better: function calls are now inlined, giving us a 1-3% boost, with recursive functions like Fibonacci seeing up to 1.7x improvement!
>> Adaptive Intelligence
The new Specializing Interpreter is perhaps the most exciting addition. Think of it as a lightweight JIT - it identifies hot code paths and optimizes them automatically.
The interpreter now automatically specializes math operations, array indexing, and even sequence unpacking based on actual usage patterns.
>> Exception Handling Revolution
My favorite feature? Zero-cost exceptions! Your try-except blocks no longer carry overhead when no exceptions occur. The code runs at full speed until an exception actually happens.
Ready to make the switch? These improvements aren't just numbers - they're real-world performance gains waiting to be unlocked in your codebase.
liked
a
Space
about 2 months ago
[FEEDBACK] Spaces Dev Mode
53
#3 opened 8 months ago
by
sbrandeis
liked
a
model
2 months ago
liked
2
Spaces
2 months ago
RuntimeError: No CUDA GPUs are available
6
#106 opened 4 months ago
by
mantrakp
liked
4
Spaces
3 months ago